Made with FluCoMa

Below are pieces of music and software that have made use of the FluCoMa tools during its funded period (2017-2023), in additions to the official project commissions. Interrogating our design choices through early creative, practical use was integral to the project design, and we are very excited that people outside the project team have started to use the tools for their own work. If you've used them, please let us know on the forum.

Music

• Attempts at Stillness

  Pierre Alexandre Tremblay (2017)

  Studio composition

• Newsfeed

  Pierre Alexandre Tremblay (2018-20)

  Studio composition

• All the Noises

  Owen Green and John Bowers (2018)

  Performance / installation for hijacked and repurposed machine listeners

• Neither the Time nor the Energy

  Owen Green (2018)

  Live electronics with bowed cardboard

• Un fil rouge

  Pierre Alexandre Tremblay (2018)

  Studio composition

• White Goods

  Gerard Roma (2018)

  Performance piece based on interactive corpus exploration

• Sonorities 21.4.18

  Raw Green Rust (2018)

  A live set at the Sonorities festival, Belfast

• RGR-Beyond-280919

  Raw Green Rust (2019)

  Using the FluCoMa tools for mutually-interconnected co-sampling

• SCI★FI★HI★FI Machine Learning Remix

  Owen Green and Matt Brennan (2019)

  Generative remix of Brennan's Citizen Bravo album, Build A Thing Of Beauty

• Map Mop

  Gerard Roma (2019)

  Audiovisual performance piece based on interactive corpus exploration

• (un)weave

  Pierre Alexandre Tremblay (2019)

  For the Wet Ink Ensemble (flute, tenor saxophone, percussions including vibraphone, piano, violin, laptop) and further electronics

• Race to the Bottom

  Owen Green (2019)

  Live electronics with bowed cardboard

• Experimenta 28.9.19

  Raw Green Rust (2019)

  A live set at the 'Beyond Future Design' Symposium, Experimenta, Heilbronn

• Big Fry-Up

  Gerard Roma (2021)

  An audio-visual investigation of frying, sizzling, sputtering, broiling and poaching sounds, through the lens of computer-assisted stirring.

• Regulatory Capture

  Raw Green Rust (2021)

  An uncertain number of human improvisers, in uncertain locations, with uncertain connections, mediated by opinionated machine learning algorithms.

• Dirty Dialogues

  Dirty Electronics Ensemble, Jon.Ogara, and Anna Xambó (2021)

  A live album on pan y rosas discos

• Quartet

  Ted Moore (2021)

  A quartet for ensemble and video processing

• Interferences

  James Bradbury (2021-2)

  A studio album made from a corpus of electromagnetic sounds

• Saccades

  Ted Moore (2022)

  A piece for saxophone, electronics, tape, & video

• Improvisation with/against Machine Learners

  Owen Green and Pierre Alexandre Tremblay (2022)

  A first duet performance with two of the founding members of the project

• Portrait d’un ami singulier et pluriel

  Pierre Alexandre Tremblay (2022-3)

  A piece for electric guitar and electronics

• Les espaces négatifs

  Pierre Alexandre Tremblay (2022-3)

  A piece for large loudspeaker array

• Inability to End

  Raw Green Rust (2022)

  A studio album of the trio

• Extension

  James Bradbury (2022)

  A collection of responses to the two pieces in the previous album, Interferences

• detuning a tuning

  Anna Xambó (2023)

  An album on Carpal Tunnel

• Rapid Enganglements

  Helen Bledsoe, Carl Rosman and Owen Green (2023)

  A trio for flute, clarinet, Partch instruments and laptop.

Software

• ReaCoMa

  James Bradbury (2019)

  A set of extensions for the Reaper DAW using the FluCoMa command line interface

• Confetti

  Rodrigo Constanzo (2020)

  A suite of Max for Live devices

• MIRLCAuto

  Anna Xambó (2020)

  A Virtual Agent for Music Information Retrieval in Live Coding

• Mosaique

  Dominic Thibault et al (2021)

  A suite of Max for Live devices

• Serge Modular Archive Instrument

  Jean Brazeau and Ted Moore (2021)

  a sample-based computer emulation of selected patches on the vintage Serge Modular instrument

• SP-Tools

  Rodrigo Constanzo (2022)

  Machine learning tools for low latency real-time performance